Abstract

This paper provides an extended case study of the cutoff phenomenon for a prototypical class of nonlinear Langevin systems with a single stable state perturbed by an additive pure jump Lévy noise of small amplitude ε>0, where the driving noise process is of layered stable type. Under a drift coercivity condition the associated family of processes Xε turns out to be exponentially ergodic with equilibrium distribution με in total variation distance which extends a result from [60] to arbitrary polynomial moments. The main results establish the cutoff phenomenon with respect to the total variation, under a sufficient smoothing condition of Blumenthal-Getoor index α>3 2. That is to say, in this setting we identify a deterministic time scale tεcut satisfying tεcut→∞, as ε→0, and a respective time window, tεcut±o(tεcut), during which the total variation distance between the current state and its equilibrium με essentially collapses as ε tends to zero. In addition, we extend the dynamical characterization under which the latter phenomenon can be described by the convergence of such distance to a unique profile function first established in [9] to the Lévy case for nonlinear drift. This leads to sufficient conditions, which can be verified in examples, such as gradient systems subject to small symmetric α-stable noise for α>3 2. The proof techniques differ completely from the Gaussian case due to the absence of a respective Girsanov transform which couples the nonlinear equation and the linear approximation asymptotically even for short times.

Highlights

  • Speaking the term cutoff phenomenon with respect to a distance d1 refers to the following asymptotic dynamics: consider the setting of a parametrized family of stochastic processes (Xε)ε>0, Xε = (Xtε)t 0, such that for each ε > 0 the process Xε has a unique limiting distribution με

  • The proof is given in Subsection D. (2) In Definition 1.3 we introduce the class of locally layered stable process, which are precisely the class of processes for which the shortrange behavior in Theorem 3.1 in [42] remains valid

  • Appendix D yields the proof of Theorem 1, which implies the exponential ergodicity of Xε towards με, which extends a result by [60] to the case of an arbitrary positive finite moment

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Summary

Introduction

If – in addition – the limiting distributions turns out to be rotationally invariant, the existence of a cutoff profile is shown to be equivalent to a computational linear algebra eigenvector problem first established in [6] for the easier situation of the Wasserstein distance. This characterization is given as a specific orthogonality condition of the (generalized) eigenvectors of the linearization −Db(0) of −b in the stable state 0. For a complete comparison of the different settings and results and in order to avoid a lengthy introduction, we refer to the following self-explanatory Table 1.1

Results
The stochastic perturbation εdL
More general linear dynamics
Gradient systems
Profile vs Window cutoff for nonlinear oscillations
Nonlinear counterexample to a cutoff profile
The shape of cutoff profiles
Counterexample to Slutsky’s lemma in total variation distance
Global steps of the proofs of Theorem 2 and Theorem 3
Freidlin-Wentzell first order expansion
Key cutoff estimate
Coupling by the local limit theorem for locally layered stable drivers
Proof of Proposition 3 In this subsection we establish an upper bound of
Step 1
Step 2
Step 3
A The deterministic dynamics
B Freidlin-Wentzell first order approximation
Continuous dependence of the total variation in the nonlinearity

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